STEM OPT Data And Analytics Jobs
Data and analytics roles in fields like data science, business intelligence, and machine learning qualify for the 24-month STEM OPT extension, giving you up to 36 months of F-1 work authorization. Your employer must be enrolled in E-Verify, and your degree must align with an approved STEM CIP code to activate the extension.
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INTRODUCTION
Resource Innovations is seeking a Data Analytics Coordinator to join our growing team in San Juan, Puerto Rico. We are seeking a highly skilled and motivated Data Analytics Coordinator with a strong background in data management, analytics, and visualization to join our energetic group. As a Data Analytics Coordinator you'll engage in detailed analytical reporting, contribute to elevating data quality standards while also providing support for the software platforms that facilitate our energy efficiency programs.
Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we're constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we're leading the charge to power change.
Duties and Responsibilities
- Pull, validate, and reconcile data from multiple systems and source files, including working with large data sets.
- Develop routine and ad-hoc reports/dashboards to support program operations, monitor performance, and identify trends, anomalies, and areas for improvement.
- Support testing and validation of software, system enhancements, data integrations, and reporting functionality to ensure changes perform as expected.
- Collaborate with software and program teams to troubleshoot issues, communicate findings, and support improvements to data, reporting, and system functionality.
- Ensure data accuracy, quality, and adherence to established regulatory and program requirements, identifying and escalating discrepancies or issues as appropriate.
- Create and maintain clear documentation of data practices and processes to support consistency and effectively communicate requirements and procedures to relevant stakeholders.
- Other duties as assigned.
BASIC QUALIFICATIONS
- Bachelor's degree in data science, computer science, engineering, statistics, mathematics, economics, or a related field, or equivalent relevant experience.
- 1+ years of experience working with data, reporting, data management, or a related technical field, including experience working with large data sets.
- Experience with data systems, reporting tools, databases, or similar technology; proficiency in SQL, Tableau, Power BI, Salesforce, or comparable tools is a plus.
- Strong analytical, problem-solving, communication, organizational, and attention-to-detail skills, with a demonstrated ability to maintain accuracy and follow through on detailed work.
- Fluency in both Spanish and English is required.
- Interest in sustainability and passionate about making a meaningful impact on the environment.
PREFERRED QUALIFICATIONS
- Additional education or coursework in data analytics, business analytics, computer science, or a related field.
- Experience with software testing, data validation, reconciliation, or technical support.
- Experience in energy efficiency, utility programs, or other program-related environments.
- Ability to work collaboratively in a fast-paced environment and manage multiple priorities.
- Experience identifying opportunities to improve data, reporting, or business processes.
ABOUT RESOURCE INNOVATIONS
Resource Innovations (RI) is a women-led energy transformation firm focused on impact. Building on our expertise in energy efficiency, we’re constantly expanding our portfolio of clean energy solutions to guide utilities through increasingly complex, connected challenges. Load flexibility. Electrification. Carbon reduction. With every step, we’re leading the charge to power change.
Resource Innovations is an Equal Opportunity Employer, committed to ensuring equal employment opportunities for all job applicants and employees without regard to race, color, religion, national origin, gender, age, disability, marital status, genetics, protected veteran status, sexual orientation, or any other protected status. In addition to federal law requirements, Resource Innovations complies with applicable state and local laws governing non-discrimination in employment in every location in which the company does work.
COMPENSATION & BENEFITS
Resource Innovations offers competitive salaries based on a candidate's skills, experience and qualifications for the position. The compensation range for the base salary for this position is: $32,600.00 - $41,600.00.
In addition to base pay, employees may be eligible for a discretionary annual bonus. The stated salary represents the expected compensation for this position. Final compensation will be determined based on factors such as the candidate's experience, education and location.
At Resource Innovations, we believe supporting our people is essential to delivering impact. We offer a comprehensive benefits package designed to promote health, financial security, and work-life balance. This includes paid vacation, paid sick time, paid holidays, a 401(k) retirement plan with employer match, medical, dental and vision coverage, parental leave, an employee assistance program, commuter benefits, and additional supplemental offerings.
Employment with Resource Innovations is contingent upon the successful completion of a comprehensive background check and reference check. If applicable to the position, a pre-employment drug screen may also be required.
The above job description and job requirements are not intended to be all inclusive. Resource Innovations retains the right to make changes or adjustments to job descriptions and/or job requirements at any time without notice.
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Get Access To All JobsTips for Finding STEM OPT Authorization in Data And Analytics
Verify your CIP code before applying
Check that your degree's CIP code appears on the STEM OPT designated degree list. Data science, computer science, statistics, and applied mathematics programs commonly qualify, but management information systems degrees vary by institution and program title.
Confirm E-Verify enrollment before accepting offers
Search the E-Verify employer search tool to confirm a company is actively enrolled before signing anything. Enrollment must be current at the time your STEM OPT extension begins, not just when you apply.
Target companies with active LCA filings in analytics
Use Migrate Mate to filter employers by verified E-Verify status and Labor Condition Application history in data and analytics roles, so you're applying to companies already set up to hire STEM OPT students.
File your I-983 training plan before your OPT expires
Your employer must sign a completed I-983 before your DSO can recommend the STEM OPT extension in SEVIS. Build in at least two weeks for internal review, since data and analytics managers often need HR approval before signing government training documents.
Match your I-983 learning objectives to real deliverables
USCIS expects your I-983 goals to reflect measurable technical development, not generic job duties. Frame objectives around skills like predictive modeling, ETL pipeline development, or A/B testing methodology rather than broad phrases like 'data analysis work.'
Ask about prevailing wage during salary negotiations
Your employer's LCA must certify a wage meeting DOL prevailing wage requirements for your SOC code and location. Use the OFLC Wage Search to look up Level I through Level IV wages for data analyst and data scientist roles in your metro area before negotiating.
Frequently Asked Questions
Which STEM degrees qualify for the STEM OPT extension in data and analytics roles?
Degrees in computer science, statistics, mathematics, data science, information science, and engineering fields commonly appear on the STEM OPT designated degree program list. Management information systems and business analytics degrees may qualify depending on your institution's assigned CIP code. Your DSO can confirm whether your specific degree program is listed before you apply for the extension.
Does my data analytics employer need to be enrolled in E-Verify?
Yes. E-Verify enrollment is a hard requirement for STEM OPT employers. The company must be enrolled at the time your STEM OPT extension begins, not just when the job offer is made. Before accepting any offer, search the E-Verify employer search tool to confirm active enrollment. If a company isn't enrolled, you can't legally start work under the extension even if your I-765 is approved.
What goes into the I-983 training plan for a data and analytics position?
The I-983 requires your employer to describe your job duties, the practical skills you'll develop, how those skills connect to your STEM degree, and how they'll supervise and evaluate your progress. For data and analytics roles, this typically covers technical competencies like statistical modeling, data visualization, machine learning applications, or database management. Both you and a company supervisor must sign the form before your DSO can process the extension.
How does cap-gap protection work if my H-1B is selected while I'm on STEM OPT?
If your H-1B visa petition is filed and accepted before your STEM OPT expires, cap-gap automatically extends your F-1 work authorization through September 30 of that fiscal year. Your employer doesn't need to take any additional action beyond the H-1B filing. If your H-1B petition is approved, your status changes to H-1B on October 1. If it's denied or withdrawn, cap-gap protection ends and you must stop working.
Where can I find data and analytics employers who are set up to hire STEM OPT students?
Migrate Mate lists data and analytics jobs at employers verified for E-Verify enrollment and Labor Condition Application filing history, so you're not guessing about a company's ability to hire STEM OPT students. You can filter by role type and location to surface companies that have an established process for supporting F-1 workers through the extension period.